3 citations · 6 across the 5 of their papers we have counts for
6 papers
Probabilities of Causation: Role of Observational Data
Ang Li, Judea Pearl
Probabilities of causation play a crucial role in modern decision-making. Pearl defined three binary probabilities of causation, the probability of necessity and sufficiency (PNS),…
Unit Selection: Learning Benefit Function from Finite Population Data
Ang Li, Song Jiang, Yizhou Sun +1
The unit selection problem is to identify a group of individuals who are most likely to exhibit a desired mode of behavior, for example, selecting individuals who would respond one…
Unit Selection: Case Study and Comparison with A/B Test Heuristic
Ang Li, Judea Pearl
The unit selection problem defined by Li and Pearl identifies individuals who have desired counterfactual behavior patterns, for example, individuals who would respond positively i…
Probabilities of Causation: Adequate Size of Experimental and Observational Samples
Ang Li, Ruirui Mao, Judea Pearl
The probabilities of causation are commonly used to solve decision-making problems. Tian and Pearl derived sharp bounds for the probability of necessity and sufficiency (PNS), the…
Bounds on Causal Effects and Application to High Dimensional Data
Ang Li, Judea Pearl
This paper addresses the problem of estimating causal effects when adjustment variables in the back-door or front-door criterion are partially observed. For such scenarios, we deri…
Causes of Effects: Learning individual responses from population data
Scott Mueller, Ang Li, Judea Pearl
The problem of individualization is recognized as crucial in almost every field. Identifying causes of effects in specific events is likewise essential for accurate decision making…